Containers for AI agents
Project description
Bam
Bam is a lightweight and easy-to-use command-line interface (CLI) tool for creating and running AI agent containers. It is currently Docker-based.
Installation
You can install Bam using pip:
pip install bambot
Getting Started
To get started with bambot, follow these simple steps:
- Install bambot using pip:
pip install bambot
- Initialize a new Bam project:
bam init [CONTAINER_NAME]
- Build the Bam project locally:
cd [CONTAINER_NAME]
bam build
- Start the AI agent container locally:
bam start
That's it! You're now ready to start using Bam to create and run AI agent containers.
Documentation
For detailed documentation and additional features, please visit our website at bam.bot (coming soon).
License
bambot is released under the MIT License.
Support
If you have any questions, issues, or suggestions, please open an issue on our GitHub repository or email spencer@bam.bot.
Happy coding!
Note: Bam is VERY much a work-in-progress. more to come very soon!
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file bambot-0.4.5.tar.gz.
File metadata
- Download URL: bambot-0.4.5.tar.gz
- Upload date:
- Size: 9.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.9.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | f0c85492c9ec58fb7bc3c5ae0bfca81103b58eeca26df1dcf7deaad6f39526da |
|
| MD5 | e846160ee59aa9ac1d663a6788dbe8a4 |
|
| BLAKE2b-256 | e5ed572cf9c7801adf5f207eaa2d54bf32e2a9e37d9072bb33781e1ddd85f50d |
File details
Details for the file bambot-0.4.5-py3-none-any.whl.
File metadata
- Download URL: bambot-0.4.5-py3-none-any.whl
- Upload date:
- Size: 11.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.9.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 9c7cfb23d513fc12f1c04a0edfb2f1e43faca8971c2d922af1c747f6a17d0250 |
|
| MD5 | d5223af0f7e412882d6aadec41ad91e7 |
|
| BLAKE2b-256 | c6fec41fde8b197d3e0248f97fb23b4bda12b1b016be0ea5252ba492838ed54c |
